bioRxivNeurosciencePreprint
Characterization of the knock-in AppSAA mouse model as a powerful tool for Alzheimer's disease preclinical research.
Lucy J. SloaniD, Dylan T. Garceau, Nick Ryan, Justice Pomeroy-Tuck, Ritesh ChidambaramiD, Tim Ragan, Ravi S. PandeyiD, Erik B. BlossiD, Gregory W. CarteriD, Adrian L. OblakiD, Michael SasneriD
Abstract
BACKGROUND: Preclinical Alzheimer's disease (AD) research requires models with age-dependent, physiologically relevant amyloid pathology, unlike overexpression in transgenic lines. We characterized the humanized AppSAA knock-in model to define translationally relevant therapeutic windows. METHODS: Homozygous AppSAA and control mice were evaluated from 4 to 19 months using whole-brain 3D plaque imaging, cerebral amyloid angiopathy (CAA) quantification, multiplex neuropathology, brain transcriptomics, and plasma biomarkers. Hippocampal synaptic analysis and context-dependent memory was performed at 12 months. RESULTS: Plaques, CAA, plaque-associated neuroinflammation, and dystrophic neurites accumulated with age. By 12 months, brain transcriptomes aligned with human AMP-AD co-expression modules, and plasma pTau-217, GFAP, and SNAP25 rose with age. AppSAA mice retained associative memory but showed memory interference and CA1 dendritic-spine loss that was exacerbated in proximity to plaques. CONCLUSIONS: AppSAA mice recapitulate age-dependent, human-relevant AD phenotypes with defined therapeutic windows for preclinical research. The model is available without restriction from The Jackson Laboratory.
- organism: mouse
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
- 0
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